Abstract
This paper described that the stator current-based model reference adaptive system (MRAS) speed estimator is used for the induction motor (IM) indirect vector speed control without a mechanical speed sensor. Due to high sensitivity of motor parameters variation at low speed including zero, stability analysis of MRAS design is performed to correct any mismatch parameters value in the MRAS performed to estimate the motor speed at these values. As a result, the IM sensorless control can operate over a wide range including zero speed. The performance of the stator current-based MRAS speed estimator was analyzed in terms of speed tracking capability, torque response quickness, low speed behavior, step response of drive with speed reversal, sensitivity to motor parameter uncertainty, and speed tracking ability in the regenerative mode. The system gives a good performance at no-load and loaded conditions with parameter variation. The stator current-based MRAS estimator sensorless speed control technique can make the hardware simple and improve the reliability of the motor without introducing a feedback sensor, and it becomes more important in the modern AC IM. The sensorless vector control operation has been verified by simulation on Matlab and experimentally using Texas Instruments HVMTRPFCKIT with TMS320 F28035 DSP card and 0.18 kw AC IM.
Highlights
Induction motors chosen for variable speed drives due to primarily low material and manufacturing cost and reliable, associated with the squirrel cage induction motor, are proposed by [1, 2]
Shaft speed encoders are expensive and introduce reliability concerns for vector-controlled AC motor drives. e use of this encoder implies additional electronics, extra wiring, space, and careful mounting, which detracts from the inherent robustness of cage induction motors been proposed in [6]. erefore, it has been a great interest in the research community in developing a high-performance induction motor drive that does not require a speed or position encoder for its operation
In the stator current-based model reference adaptive system (MRAS) rotor speed estimator, the adaptation algorithm is based on the error between estimated and measured stator current based on the Lyapunov function. e adaptation mechanism can be derived from the adaptive stator current, and rotor flux estimator is constructed as follows
Summary
Induction motors chosen for variable speed drives due to primarily low material and manufacturing cost and reliable, associated with the squirrel cage induction motor, are proposed by [1, 2]. In [3,4,5], the authors proposed that accurate speed identification is required for all high-performance vectors that controlled IM drives. Erefore, it has been a great interest in the research community in developing a high-performance induction motor drive that does not require a speed or position encoder for its operation. In [7], the rotor speed was estimated using angular velocity and slip calculation, the researchers used stator current and voltage as the reference model, and the performance of the system at operating (rated) speed was robust and simple to implement. E solution for rotor speed estimation is based on stator current-based MRAS principle, in which an error vector is formed from the outputs of reference and adaptive models, models both dependent on different motor parameters. Design and implementation of an adaptive estimator using the Matlab simulation and implementation using Texas Instruments TMS320F28035 control card on the general purpose AC induction motor was performed
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